{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas_datareader import data as wb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "PG = wb.DataReader('PG', data_source = 'quandl', start=\"1995-1-1\", end='2018-05-01')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>ExDividend</th>\n",
       "      <th>SplitRatio</th>\n",
       "      <th>AdjOpen</th>\n",
       "      <th>AdjHigh</th>\n",
       "      <th>AdjLow</th>\n",
       "      <th>AdjClose</th>\n",
       "      <th>AdjVolume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-03-27</th>\n",
       "      <td>76.53</td>\n",
       "      <td>78.44</td>\n",
       "      <td>76.300</td>\n",
       "      <td>77.79</td>\n",
       "      <td>11257559.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>76.53</td>\n",
       "      <td>78.44</td>\n",
       "      <td>76.300</td>\n",
       "      <td>77.79</td>\n",
       "      <td>11257559.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-26</th>\n",
       "      <td>76.57</td>\n",
       "      <td>76.87</td>\n",
       "      <td>76.020</td>\n",
       "      <td>76.41</td>\n",
       "      <td>11959444.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>76.57</td>\n",
       "      <td>76.87</td>\n",
       "      <td>76.020</td>\n",
       "      <td>76.41</td>\n",
       "      <td>11959444.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-23</th>\n",
       "      <td>76.79</td>\n",
       "      <td>77.18</td>\n",
       "      <td>75.805</td>\n",
       "      <td>75.91</td>\n",
       "      <td>11626422.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>76.79</td>\n",
       "      <td>77.18</td>\n",
       "      <td>75.805</td>\n",
       "      <td>75.91</td>\n",
       "      <td>11626422.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-22</th>\n",
       "      <td>76.83</td>\n",
       "      <td>77.52</td>\n",
       "      <td>76.370</td>\n",
       "      <td>76.41</td>\n",
       "      <td>10396180.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>76.83</td>\n",
       "      <td>77.52</td>\n",
       "      <td>76.370</td>\n",
       "      <td>76.41</td>\n",
       "      <td>10396180.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-21</th>\n",
       "      <td>78.05</td>\n",
       "      <td>78.24</td>\n",
       "      <td>76.880</td>\n",
       "      <td>77.04</td>\n",
       "      <td>9776002.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>78.05</td>\n",
       "      <td>78.24</td>\n",
       "      <td>76.880</td>\n",
       "      <td>77.04</td>\n",
       "      <td>9776002.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Open   High     Low  Close      Volume  ExDividend  SplitRatio  \\\n",
       "Date                                                                          \n",
       "2018-03-27  76.53  78.44  76.300  77.79  11257559.0         0.0         1.0   \n",
       "2018-03-26  76.57  76.87  76.020  76.41  11959444.0         0.0         1.0   \n",
       "2018-03-23  76.79  77.18  75.805  75.91  11626422.0         0.0         1.0   \n",
       "2018-03-22  76.83  77.52  76.370  76.41  10396180.0         0.0         1.0   \n",
       "2018-03-21  78.05  78.24  76.880  77.04   9776002.0         0.0         1.0   \n",
       "\n",
       "            AdjOpen  AdjHigh  AdjLow  AdjClose   AdjVolume  \n",
       "Date                                                        \n",
       "2018-03-27    76.53    78.44  76.300     77.79  11257559.0  \n",
       "2018-03-26    76.57    76.87  76.020     76.41  11959444.0  \n",
       "2018-03-23    76.79    77.18  75.805     75.91  11626422.0  \n",
       "2018-03-22    76.83    77.52  76.370     76.41  10396180.0  \n",
       "2018-03-21    78.05    78.24  76.880     77.04   9776002.0  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PG.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>ExDividend</th>\n",
       "      <th>SplitRatio</th>\n",
       "      <th>AdjOpen</th>\n",
       "      <th>AdjHigh</th>\n",
       "      <th>AdjLow</th>\n",
       "      <th>AdjClose</th>\n",
       "      <th>AdjVolume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1995-01-09</th>\n",
       "      <td>61.38</td>\n",
       "      <td>61.63</td>\n",
       "      <td>60.75</td>\n",
       "      <td>60.88</td>\n",
       "      <td>448800.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.880469</td>\n",
       "      <td>8.916639</td>\n",
       "      <td>8.789320</td>\n",
       "      <td>8.808129</td>\n",
       "      <td>1795200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-06</th>\n",
       "      <td>60.63</td>\n",
       "      <td>61.63</td>\n",
       "      <td>60.63</td>\n",
       "      <td>61.25</td>\n",
       "      <td>859500.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.771959</td>\n",
       "      <td>8.916639</td>\n",
       "      <td>8.771959</td>\n",
       "      <td>8.861660</td>\n",
       "      <td>3438000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-05</th>\n",
       "      <td>61.50</td>\n",
       "      <td>61.75</td>\n",
       "      <td>60.88</td>\n",
       "      <td>61.00</td>\n",
       "      <td>579900.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.897830</td>\n",
       "      <td>8.934000</td>\n",
       "      <td>8.808129</td>\n",
       "      <td>8.825490</td>\n",
       "      <td>2319600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-04</th>\n",
       "      <td>62.63</td>\n",
       "      <td>62.63</td>\n",
       "      <td>61.25</td>\n",
       "      <td>61.88</td>\n",
       "      <td>554700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9.061319</td>\n",
       "      <td>9.061319</td>\n",
       "      <td>8.861660</td>\n",
       "      <td>8.952809</td>\n",
       "      <td>2218800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-03</th>\n",
       "      <td>61.88</td>\n",
       "      <td>62.50</td>\n",
       "      <td>61.75</td>\n",
       "      <td>62.38</td>\n",
       "      <td>829600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>8.952809</td>\n",
       "      <td>9.042510</td>\n",
       "      <td>8.934000</td>\n",
       "      <td>9.025149</td>\n",
       "      <td>3318400.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Open   High    Low  Close    Volume  ExDividend  SplitRatio  \\\n",
       "Date                                                                       \n",
       "1995-01-09  61.38  61.63  60.75  60.88  448800.0         0.0         1.0   \n",
       "1995-01-06  60.63  61.63  60.63  61.25  859500.0         0.0         1.0   \n",
       "1995-01-05  61.50  61.75  60.88  61.00  579900.0         0.0         1.0   \n",
       "1995-01-04  62.63  62.63  61.25  61.88  554700.0         0.0         1.0   \n",
       "1995-01-03  61.88  62.50  61.75  62.38  829600.0         0.0         1.0   \n",
       "\n",
       "             AdjOpen   AdjHigh    AdjLow  AdjClose  AdjVolume  \n",
       "Date                                                           \n",
       "1995-01-09  8.880469  8.916639  8.789320  8.808129  1795200.0  \n",
       "1995-01-06  8.771959  8.916639  8.771959  8.861660  3438000.0  \n",
       "1995-01-05  8.897830  8.934000  8.808129  8.825490  2319600.0  \n",
       "1995-01-04  9.061319  9.061319  8.861660  8.952809  2218800.0  \n",
       "1995-01-03  8.952809  9.042510  8.934000  9.025149  3318400.0  "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PG.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "PG['simple_reture'] = (PG['AdjClose']/PG['AdjClose'].shift(-1))-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date\n",
      "2018-03-27    0.018060\n",
      "2018-03-26    0.006587\n",
      "2018-03-23   -0.006544\n",
      "2018-03-22   -0.008178\n",
      "2018-03-21   -0.016218\n",
      "2018-03-20   -0.004450\n",
      "2018-03-19   -0.003926\n",
      "2018-03-16    0.003813\n",
      "2018-03-15   -0.004177\n",
      "2018-03-14   -0.009032\n",
      "2018-03-13   -0.001753\n",
      "2018-03-12   -0.005356\n",
      "2018-03-09    0.004002\n",
      "2018-03-08    0.010232\n",
      "2018-03-07   -0.010747\n",
      "2018-03-06   -0.003363\n",
      "2018-03-05    0.009937\n",
      "2018-03-02    0.010165\n",
      "2018-03-01    0.002292\n",
      "2018-02-28   -0.025081\n",
      "2018-02-27   -0.013353\n",
      "2018-02-26    0.007156\n",
      "2018-02-23    0.002598\n",
      "2018-02-22    0.007478\n",
      "2018-02-21   -0.013523\n",
      "2018-02-20   -0.015254\n",
      "2018-02-16    0.002306\n",
      "2018-02-15    0.021443\n",
      "2018-02-14   -0.010061\n",
      "2018-02-13    0.002090\n",
      "                ...   \n",
      "1995-02-13    0.005802\n",
      "1995-02-10   -0.001981\n",
      "1995-02-09    0.000000\n",
      "1995-02-08   -0.011299\n",
      "1995-02-07   -0.001805\n",
      "1995-02-06    0.023077\n",
      "1995-02-03    0.009630\n",
      "1995-02-02    0.007827\n",
      "1995-02-01   -0.020996\n",
      "1995-01-31   -0.007605\n",
      "1995-01-30    0.015444\n",
      "1995-01-27    0.025661\n",
      "1995-01-26    0.006056\n",
      "1995-01-25    0.012097\n",
      "1995-01-24    0.000000\n",
      "1995-01-23    0.010101\n",
      "1995-01-20   -0.001951\n",
      "1995-01-19   -0.006141\n",
      "1995-01-18   -0.021660\n",
      "1995-01-17    0.003968\n",
      "1995-01-16    0.008000\n",
      "1995-01-13    0.013710\n",
      "1995-01-12    0.008130\n",
      "1995-01-11   -0.002109\n",
      "1995-01-10    0.012319\n",
      "1995-01-09   -0.006041\n",
      "1995-01-06    0.004098\n",
      "1995-01-05   -0.014221\n",
      "1995-01-04   -0.008015\n",
      "1995-01-03         NaN\n",
      "Name: simple_reture, Length: 5849, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print (PG['simple_reture'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113710080>"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MZoa12/djnOUaEKqj3A8rCmM27HPoCz+i28Oxnfa5rFzx5k9rY154qC4jO8LFoB4Dky2d5rx3w+UaEPT2HSpFzoiJ+GD2Hzj9+R8x6Nnp3jv0EZ8vxivTVvu0g1vtPliCk0d/731+//jA3uzBSlF7in3v7mNRCrZ+vOKSMmyJUTVhOF6f4TshTXFJGc556SdcMmZm0CBaWZWZQnfCwk3YtvcQ/htkPoOvFhXgYElZTGprhj4/A/0iuLGatKQAA5/5wbHPgaqix2NT8NGc2NSYxEokNw52nywWU8bGuqRux/83d8gMZsUh+t140nb+q7/ggQlLvQswObWde7Lz5WmrYtbW7HQdi8aEhZvw8FfL8NyU3zHul3UxC+5p7orpSV96tUo4eLgMOw8cxhENazkes277fjSqUwMNamUG7Ju4qKJn+SazNF1arpjy2zaf4zzDxV7/cQ0K90Z2YamKE6dYg/igZ5NXFQoAH+dvwOJNRun91zXh9bxfsmk3urRqEPQYz1381j3xmTs80puFon2HkJGeZvs7jNRdny7C3uJS7DtUavt6ZeWKwr2HMPLzxUFrTRItnO/3hxXb0KROTdv11Qc+Mx0LHzg9qjQks7o21Ft70uZ/zUhLsx+6Zr1JWlNYdceq7z9kBPEPZ2/A7oMl2LjzAO4achTKVZGVmV7p101zWccZltQB/OXt2d5S8O6DJXh28u8BpZf+//oBw17+KezXfO2H1T7DMKzVxXZtvKEMff7H0AfFyX1f2ncqG2wJ5JVpi/95Vex6tNrVXHiZ2e2f7We/9FNU45a/W7oFOSMmeqs7I1WZGoXuj07B8Q99h0/yN4Qcrx9KRft38N+j9U8h3J9uvBYHCtdVb83BOS//hP/a1EjtPljiLeVFOi7Zc/3v89Q03Pj+PLw2fXXUabUav2BT1GPpnYasiXc//PZXBLVE1EBUlifvPTdqOw+U4IwXfsRR900Kclb4r+sWDOqouPPftqcYj3y1DC9OXYmO934dcNy6ogM4cLgUW8OoZva/YJ/14k/etrDK/OEcCmMFNs9kK7HmNB1upGux+7vCYYKdSIW7rrxd7gQbt/ye3+deuXUvJizcjDE/rsYT3/yG56cY3+e6EMHZLnlz1u3Aaf/6AR8EGV1RXq748fdC26B716eLvJ04x85YE/YaBKu27fV2tKooudkfa7c51C/M+lHLzZJ+Zf28aru3j0qsHXXfJPz4eyHm23RQC2dOgsK9hzBxUQFGf7M8pum65cMFAb/JcH/fHp7ri1OJPCDoW14+XiF93h878dncjVG9hn+JWhVYHUHNwrQV2wL+pgHf/K3C9zRhY/W7xV/HzUG7JnWCHnPM/d+G9VoFewJLrv8ze7GWcxEwAME7wsVUJcfh/vPLJRh0dHPv88HP+daWHNOyftDzg72fZzjWhh0HzSQGXrjf+GktHvv6N7x2eXcM7dIiYL8nYD41aUXQdHiUlSsGPfsj+nbOxjt/7WkpudknNNpS2zOTV+CVaasxe9RANKuXhdxRgTfKwVw21rjpWzf6rKjS4eSX1UXIsGlQrWzNS7yFffPqP/89jAJL7yeM2siAkro1qDt85WXlihMfmYxRZx2Ni/LahJniCn8y57s4v3vrgH2Few8hPU3QuE4Nn+3l5eq98QQCO8BGOgPeX96aY7s9lm3qyzbvQVm54rjWwZv14okldYslm/b4tI9Hw3OxtlNVp2N0LTO7PbPE+Qu2Dn2wknS4Ii1peawze7Jf59B5ydNxyv9q59SBqNS8m5y52mj2SHOYjMQj2p/plGVGn5J3fjFKR9aapEUbjRLy9n2HcM5LP3n7oiTSa9NXV6opLBE27jzgbdIqi7AUYHczNm1FRf8e6/Vn255iv0KGfX4cLi3H7oMl3qa40d8sD2uWt3AWAOrx2BSc6DdG/+M5G9Dh3q99RvzM9JvJz/o5o7mmWmsAoq2KP/PFGTgngmbaeGBQT4LDYS6uQuGx6wxl5cnvK96wn/Tk2cm/O54bbPiQZyKS5yb/jts/XuDdPmfdDjz61bK4typ7Fyvx2+7UPOS57nlqBZyqY4O+Z5jHqlb0HXl52qqA/e+a8wR8MW8TFm/ajdP+9UNYrxvrpY4rM9tgIqzYsheTlxmjauasC93GnhaktK3qWzr3fN879x9Gz8enYrZljQe7r7ekrNz7W/E0A742fTUmL9uK1YX7sGHHAdzz6SLbppYdlZwl7+7PjLk9rM2YnumzPUNUS33m4ajU2wCo/E13MPP/2BnT1SsjwaCeBNv3VY9JGaoL6wIelRFtaXzq8m34fN4mb4n/wtdmYqxlDfhwLhkiwDsz13kv5HbsAuoPK7b5XNw8rnprNu7+dCE6jJyIOz9ZCKAigJWrmsOcvDPKoKSsHJePneXTScvpQllaVu64JoD1AhnsZmHLnmKfmhNP3q3Yshf9n57m06588wfzY1JjYmemzaps1u9r0cZduPeLxWHdzGzadRBnvTgDhXsP4e/v5GPIc6E7t6oGDn0FfKehDqd6OM2mXdjzqgW7D/p8F56fi92IGoXxmT3fzcRFBcgd9Q1usCxoZF2ideAz09HnqWn4KH8Dnvjmt4DX84+X1783F+MXbAo4rjK+stSqfjF/E657d67PcMU1hfuQM2IiVm2z75cxbblRexGPfnIjP1+MZ79zLizEE4M6pbxYDRf8zW8K0UhLD/ePX4q/v5OPhRt22dY+vPXzOp/nizbuxlVvzQkobZaVK35YUYiP8zeiXI1JS4CKknNpuSJ31DfeC+6r01fjpvfn4adV23GXeQMA2AdlBfDM5N9x3r9/CdrzWzX455+xcjv+8f78gO1Dnv8R64oO+NxcTFi4GSM/X4xzX/nZ+QUryTMM0qpgd0WV76Wvz8L7s/4Iq5397Z/XYunmPfh83kZMXrYVK8xOfk6BGzCaVtqPDN7XIN0vqltfqqxc8dzk331LrVCf4/o9/QNGfVExgsXzvfa3qR3Zsf8w/u/ln/Gguarjje8bwfz75RXV904Ta4UzNOybJVtwy4cLsHzLnoBFsTzCmf7X3x2fLMSkpVvwwpSKmjVP0P9yvv0CWX95ew5mrSlCWhhRcPu+Qz6TjNmxjqQoK9eA7y1RGNSJYmTYKz/j2e8qOq09OcnsGW3zt/3+bN/JZl79oSJADnvlZ1z11uyA4VgPfxXeLIB28/I/NnGZ40X0rZ/X4dulxr412/d7A5BTTF622bh5Cdbz+4lvloecHOS7ZVuxYWf4Q8oW2PRUj4fr3jMC2ey1O7zB3BOw7C7TOSMmorSsHL8VGEHc2kfjvi+XoP3Ir9F+5Nc4cLgUZeWKj+b8ga8XF2Dt9v3efA/GU/thjZm9Hp+CnBET8dWizQFNROMXbMYvq52Hi4Zzs7l4025vx95weWKYdXZEp9nahj4/w3FRrGim/3331/Xe32/F6nPOH/jiMb9iyabQ1eRXj8vHrR8twLa9ziOf/IctpyUpqKd87/dwliQNNtcykdWL3we2H/9n+hq0algLV/bO8W6zm+vbyr8dNZKlTO2ad/xn4AOcqx0nLi7A6zPW4vp+HQL2zV23MyAt2/YWQyDITK94Rf9Z25w6wlnn4I9VJ9VYsd4cVfQ/sD+2pEzxkznvgnVxGOtw0IOHy/C/hZtxz2eRrScxcVEBHh12GKWWjoaeyZB2HQisZQrWRwQwSuqhpiVet/0A/vFBYE0KAMf5ETx5M9AvKPsvuBSJyoxEKFcgXSq3+pzTsZ4bytIy46bs/BNbIyPdt0xsvekqL1ekJ2kAfMoH9Tss1Y1Owh3GRuTk/vFLUVqmOL5NAxzZIvhQODvDo1zZzM42hzHkX87fhIUbdnlLrFb+nd7en/UH7v2iIkj96YRWtq95imWKYyeeqt6qwNpbHDCCS+0azpdLaxXuFw7VtN0frfwiQZN/2+qtqbHeKFSmo9+Bw2UBgddfsGDqP7TT49O5G/GvC48P2G53Q+nhv1bBJMvqaQBw7buRT1v7W8EedMiu463h+Hl1EYoinBp4655i1M8yZlm03gB9OPsPvPj9KsxeuxM3D+zknZa5Z05jNKlbMSSvTJNX/Z7yQT3c9cuJohVu9XmyRdKR8xW/IL8qBgvTVAX+Y5p7PjYVee0aJSk1zsMUI2m+SIbbP16AlUEm87GuVfC/hZsdawcicfZLvkPKFm7YFfHr9np8Kk5o2xDN62Vh0tKKG40iszf/Z/M24rN5FZPpWEcQAMaQ5p45bFNPCrdN5k8UrUjarv2r1RdtdF49r7rLDzJ9azg1EdFwKnz4d55MNv+134MFdH+xCOhOfrEZ5WDnk7kbvb/p+X/s8gnoAGynHXaSnqTomvJB/bp+HZOdBCKq5uI9TDXW09HGS8HuxK3UGC83xGilumrd+11EhorIChFZJSIjbPbXFJGPzP2zRCTHsm+kuX2FiAyJRXoi0aJBVqLfkojIlYbFYdhhoi2MUW1TslZ/izqoi0g6gFcAnAHgGAB/FpFj/A77G4CdqtoJwHMAnjTPPQbAJQCOBTAUwL/N10uYZ5I0QQAREbnXwST114pFSb0ngFWqukZVDwP4EMAwv2OGARhnPv4UwEAxuiYOA/Chqh5S1bUAVpmvlzBVcZ1yIiKq3sJtx4+1WAT1VgCsM2lsNLfZHqOqpQB2A2gS5rlERETVSrIWC6o2HeVE5BoRyReR/MLC8CfiICIiSrRkLRYUi6C+CYB1gd3W5jbbY0QkA0ADAEVhngsAUNUxqpqnqnnZ2dkxSDYREVF8VOegPgdAroi0F5EaMDq+TfA7ZgKA4ebjCwB8r8YEvRMAXGL2jm8PIBdA7KfOIiIiSqBIljSOpahnlFPVUhG5CcC3ANIBvKmqS0XkYQD5qjoBwBsA3hWRVQB2wAj8MI/7GMAyAKUAblRVTvFGRETVWpJiemza1FX1a1XtrKodVfUxc9v9ZkCHqhar6oWq2klVe6rqGsu5j5nnHamq38QiPUREqWrd6LOSnQSv0450T1Np7RrpmHpHv7CPT9Iw9erTUY6IqpbjWzdIdhKoCshtVtf7uF5N38rfi3u0TXRyovbWVT1sty99aAg6Zte13Wen2k4+k4rGXpmX7CRQNTHtzv4Rn9Mzp3HsExJj7/6tJ8bfdKr3+cV5bYIcXb3VyKj8ZbJ2jfjMpdW6Ua2AbY+c2wWX9DC+hwyHKUr7do59yVkEmHXvQNx5eme8eOkJMX/9RHnpzyfgmQuPx2lHNbPdLxEG6Ua1M2ORrIgxqFfCAIcvnchf+6Z1MOvegZhx92mYfld/7/Y+uU0dq0mHn5yTkLSdeVyLiM85sW1DAID4rcb+5AVdsebxM737AaBjdp2grzVz5ICI3z8Z/Eufdj69rjeeOr9rQO3FvPsGBxw7+ba+mHxbXzSM4qJvF1+uOKkdRp/fFQAw457TbM978Bz/yT4DLXkostm6BYLm9bNw04BcnHZkM5/fdSKnP+/usIre4+cdhym321ebPzzsWADAkc3r4Zzjj8D53Vv77A9VG+W01DAA1AnjdxMPDOqVkMal3ciiXZPaQfc3r5+FNo1ro12TOnjrL0bVXrCquePbJKZau7zc+L9ZvZq4a8iRIY+/+tT2qOVX8vxlxADMuncgAOPvwlqaad/UOaj/9+peaNkgsLRpdWqnpiHTVFU0qlMDF/Vog89vOMVnu93XnNu8HnKb10PvDk3Ceu3HzusSsK1hrRo2R1ZwytsmdWsGPa9Ts7qoaxOMXg9SO9nVJvC9+7eeSE8T9GrfxGeN9eG92wV9/1DOCxJEnWpF8nIaoVMz+2rzoce2wMyRA/DZDSfb7rfWRtlp18T5N8429Wrm+v5c3a26+fja3nF5XQGw5vEzsebxM0Meq2aX2GB/8K0b1a50Z6fPru+N7+/oh3F/DT7b8lEt6iEj3UjEqLOOxo2ndQr52i0bBgaKIxrWQvP69osiBRumW9OvSrupTbB57+peIdMUT2+bN2CRXJzT0wSvXHqi93mwm7dwq/Uv6xUYCO83S9ydm4ffxgsADWplonEd44agjk0QbFrX/mZh8DHNHV/zkXMDbzr65GZj9eNnokHtTDSuY9RI9D8yGw8N64LzT2wdcLzVutFn4Y3heTiqRT2f7Zf1aosOQW4Ua2XSGxsZAAAgAElEQVT6fp5W5u812Gpp2fVqomWDWrY3MuFo26QWXru8O5rVC/z9+tdmJUrKB3WnaplQ7hl6VNjHOrVvUeK0b1onbnfOF/Vog7Q0CajB+f3RMwKO9QxzsUvKzJEDsPjB0wO298kNr8Taq31jdG/XGB2y66Kfpe3ULmBOurUvLjE7MflXW2amV6TOWoLPtrlwOaldI917A/OvC4/HLQNzscjms3l88PfkBnCrWwfl4o3heTj2iIoS6IfXnIR3QtwoefS39PgO9pM7umV9AMDtgzuHnbZr+3bAd7f19QawjDTnS7gnePubens/fH9HPyx6MLCa3W4YVrDr1ymdmiArM3i/gYa1jXR4+gE8ZFZ5BzPw6OYBbdtdWjVAsFFi51pK8ce1auD9e8/0y6OrLM1bkbaT+xMIhnZpgdmjBkX1OrGU8kHdqVrGibX6J9zS1D/POtp2+/JHhkb03lQ5DWtn2nZYs6s2DMd3t/X1Pl752Bm4vp99rY1dScxTevUvwS17eAhaNqiFelmB7azhdpw7uaNv8P/mlj74/IaTMevegVhtU4twqtmu37qRb/NBtzYV7eLWEvw5XVuGTIPnU437a0/vBbhxnUzcNrgzalsu/p4LvUdu83p4Y3hFFa//jcz7CQz6tw7qjIFH+5ZMT+rQJGgnM+u3aW1L9f+eZ5tNFQBwTZ8O+Oz63rh5YG7YaRvWrRU6N6/nDb5BYjomW36nH15zEj65zqipalSnBjpk17UtwdoFTf9anDaNK2ps3hhu31Pc6sS2jTDmiu7451lG7ULdmhkYeUb4hSIr/xvUWwdV5N2Zx1X8Pi/r1RalZcanyUj3/ZzW48Lx1T9Oxbe39rXdF+ye4P4w+i/EQ8oHdau7hhyJ2aMGOu4f3rsdnru4W0Sv2alZXZxz/BG2+5zucE/qUPV7P1c1Is7V6389pb1xjN/2OjUqV+XWvJ5R3VwvKwOZ6Wk+d/sdzM5hT55/nO25xxxhlM4uMDvkPH1BV3x+w8moHSQtNzhUjZ/tF2T9Z7A6umV9nNi2EdLTBOlpElaHr2AqW6qxq4a0u5m21nT4t+FaP1qbxrVwUV7wKtxEaNO4lmOeTr2jH6bc3tfnov/xtb3RzNJUkZYm6N4usr91z+/H810Hq95vUrcmfhkxAHP/OQgndWiCHuHcHNpE9VJP5wtT52YV1eKZ6eGFkNOPbeFzvTujS2BgPb51AzzxJ/u/G8D4+72kRxu89OeKHvY3D7C/IRIBSst9g/rj5x2Hly89waczZzi6tGqAI/2aAjyc8v+Etg3Dy+84SE73vCqqfq1MNKtn3z5YWd/c0ifsH/7FeW3w5AVdsbe4BMc9+F1M0+F2AqBn+8aolZmOgyW+kxI6lYQe+L9jMGXZVrz9y3ps33corPcZ1u0I1Mw0vs+hxwb2Hv/qH6eiuKTcseqzVcNaPjU8FwYZCjbp1j5oWKtGQA/iBrUysftgCYafnIOvFhV4t4dqF1z80BDkjJgY9JhwadCKUCMIewOxX/oda3MtL+l/w9u5ecVFNSMtLSFjgLPM7znPJvDWqZGOGXcPQP+np2HvodKA/XbjmXu2r/xFfvpd/VFcUhFcy719M4LnwxE2/SCC8Xyvv4wYgP/OWo9Xpq32lng9nr+kGxZt3I1TYtiR8aqTc/Dg/4Wulk9LE5xz/BH4xwfzATiXlFUrbkY8TRSX9orNmPm7hx6JpyatMNKTrN5wQbCkbnFyR6M3apdWxt3wC5dEViqPlXpZmUGHA4Uz1vTx85zveOPNrgNOogQLNl1aNfB+t4CRzzcNyPVpQw7m1kG5eP7ibsjKTMfsUQPxuE2ponaNDMeAHqmjWtRHiwZZARfufp2zsfShIeiR09jbGQgArjolJ+RrDu/dLqL+IP5uOi0XNTPS0LVV6NKON/CYz0MFoGBzZVvb8wXAPwbmRhUkrR5xaOOtl5WJSbf2ibh2LhbO8qsibtekjk9psaIZJz7vf0TDWji3m9HUeIaZltevzMO/LzsR9bIyow7o/n+ndsP7/H8ObW1GmXh+U2d0CbzBdqp+j9YN/TthyLFG80xV7C7FoA6jvW72vQO9d9ftm0bWzu5v4s3Bh0FE68qTQg8L+XPP2E4GEm7gA4DeHSv3B3/n6Z192gErI9h8y1mZ6Zhwo/HdNKlTA0c0MGplgvWOtbp1UGfvRaRZvaywa2BiTaSi3fbHuyvGI4eTnoeGdYlq5Ebvjk2w4tEz0CCMMdb/GJCL2jXScUIboyNemgDHt2mIly29w60imSu7VcNaeD+K3vFtG1cEiAu6O/+tHNWivs8wPk8v53hP6+2pZneiYVS/V4b1O8htXg/rRp/l7WMx+JjmEbdHh6thrdC/J/8+Ix7rRp+FVy/vDqCi2Su3eV10NJt4asTh79Tb4ZUl9arp5I5Nfdq6omXtNev5owtn6In19+H0YwnW5u/7WhIwxMPq3jMjK61Nvs1+lMD8+wZjyUND8IOlI1plf+fN6mUht3k9XFaJajJPfoUampWWJlg3+izMvW+w95xGtUOXrJNZ+xBMeppg6h398NzFx4c+OISHg/RKznOY2MOf9bvv2b4xlj081HsDICIYf+MpjoHBLlBaO2VVvInxXzQB7dmLKvKrVo30sDu9TjHn/vZc1L0tDDG+uF/bt0PQ/fEqqSd6ZbFWDWvhkXO74PIwCirhuCivDWbcfRq6t2uMt6/qgff+1itk7/zKCJX/yayWZ5t6BILd0fubPWog9hws8ZYCJ93SFx3u/Trs860/ido10nHgsNFObLT57w77dfw1qp2JnQdKIhpDeUH31sixGR96dteWaGRWNVvbczs1q4vJy7ZGnLZwOv848Zxx88BcrNq2DxMWbg773NevzMPT367AZ/M2erf1bN8Ys9fu8D73DD+qCvxzp2N23YjmpHZyVAv7z/jryIFoEEZJykorERzszvns+pOxaus+n20V1fkRvwUAY5GRPJtOTPVqZti2j1vVqZEBEWNsfzxlpKdh3F974oBDesJtU6+qPF91eprgihgFdMDIjzZmLUyjOjVwapjDQf1d268D2geZWCZUTcnzSWiy8WBJPYQ/nWi0K60bfRaOi2AIVLN6Wehk6SXq9Ld31nEtQ04XOeYK357AmQ6TVpx5XAtc168jnr7AmCrSU21obYOffvdpYZf2PfwnCvFwqraOZNytVUWpJ/Jzo7m2tWiQhb/3be+z7TG/CTWStTayv4a1M3F1n+CluFhr0SArYCa5eLDL4Wb1snCy2X7raTbw1KxEEtAePbdLyD4yM+8diAX3B07rapWeJlj7xFkxK1kG069ztrc921/FDXBs37Nq/MoD+Q9xfOy8LkFnLIzWyDOOxiU9nWsMyzz5b3NpvK5fR++NRTIwqNu40BxudGLbRnjq/K5BJ81oUqdGWNM9Ol2AXrnsRNuOS57Dr+/fMeBu0+n9nvhTV4w44yhvj+qPr+2Nq07O8VmApn6Wcw//8TeeYnvhc7p2Ot2lVrat2b9jVSTsah6Oblk/6BCZYHKb+w5hqSoXuwX3n44urdy5Olqo+6ZbBuaiV/vGeHhY4AxmVtfYVF0PPqY56mUFr5isWzMjYPx8KMEmE7JqFaIX+q2Dcn0mrQn3fdNEvL30YyHYLIDJVOaXsMt6tavUYkmxUh6kTb0ytVSxxOp3G307Z/u0sdUPEqTmmgs2xGqokIcnSA3rFjjG3enu3H/MbKdmdcMaJuJxfJuGaG/T696pqj7W7UaRXlD6dc7G9N8LjSc2SbmuXwcM6+Y8V3Qo9ww9CtOWb8PsdTsi6sSVyqKbGjN4JmdlpuOjOE31G0+fXNcbOUGqcgGjEyYArCnchzWF+0O+prWpauod/bG+KPQ5wVzTtwPG/LgGfStZXR1v/sPqki1Y9XuyU8qSeox4qrTDmRL2tcu7B12YADBK8H/u2Qa5ZhX+p9f1xs0DjE5gsWhHc3oJu83OJfXAbZ5e95F2xAPgLX5YP5/TsKXcZnV9quSsSYnVH9X1/TviXrPtNNl334ng6REerx7OoXja9KMdSmr3c03m19cjp3HYU+x2yK6LQUHmWfeoKCkatQBOPcPDde+ZR2PmyAHem4tECXYpsw57O1xW7nxgEtg1f3iuR/61ConGknqMNKuXhUfP7YJeYYydHdqlBYbajKu06tSsLp74U1fv87ycxrade67v3xGv/rA65Ht+F+ZQMU9ArV0jHU/86Tjc8uECnBTmalLW2o2zux6Bx79eHtZ5HnZt6h9f29u2FkTEmB/60Ym/BZwTS575qs8NcROWCPFetaxFgyz89vBQZGWmoWN2XZREcSGtzGUtp2kdrH78zLCHGFYFnpv4RPdXi6ZTqZNQq+bFUqS/D/9Z7ZLN2vzh0a9zNmas3J70/jcsqcfQ5Se1C2iLDYfnIlaZi1m4E4l0bl7PZ1YuJ2pp1x7WrRXm3Tc4oOTmmZ70xCDDnI7wmzktHOXlnvcOLx/aN62DlY8Zi6ZcGMHIhEg0rVsTKx87w2cRiGSYd99gvHGV8/KXsVKrRjpEBH07ZwfMf54Ikf4NJHOSJQAYOzwP1/bt4DPuPRE0Th3lEqVlgyzUi2AO+FhXvx97RP2Qq8UFUzH6oGKbJ8Anu1KPJfUq4NxurbBiy96IFnaIF/9xt3azo7186YkYccaBkJ1/AGN89/7DZUGPuem0Tnh52irUNMeTOhU+bhmYixemrjSOMQN/Znoalj40JC5jUT2SNcmMVaxmqXObFg3Cq9ZuXr8mfiswfjOxLN12yK6LkWfGd3ib7fuaE2QNsZmquDrIykzH4ocCV4lzEk2tkZ2JN/eJ6vxTOjbFr2t2+FwDPTdYyS6pM6hXATUy0nDf2eGv6ON0SYrFtSrc3rz+K3s56ZBdF4s3BR9Xf9OATqibleEddRDp56sT5UIlxntW0yJPVVMFs7F7u0YQEfTJbYrhvds5LpBTneQ0rYOlDw1B7So6KVKsVYUCj9WNp3XCBXmtfZosurU1ai5jOSd+ZTCok62sBF4ssjLTcZ1l+dJqOp8GWSS7CtJORnoaHgoxHK46icXNbFVWO9P4fPeffUxUo1jiIS1NAvogdGvTEEseGhJyYaV4c/evghw5VRE1qJWJO0/v7DjpRWXVyEjD4dLwqtCcevdbS9OnH5v49l4KLdL7sU+u642te4rjkhbA6JE88ozEV49T9K7t1wEiSMhEP7GS7IAOMKinrJIgHU9uclijOCoRlNwch9uZ2y/Ka13pWeuoaonHmtPWVbne/VvlF32h5MrKTK9y1e7VQVQ9gESksYhMFpGV5v+23aFFZLh5zEoRGW7Z/oOIrBCRBea/ZtGkJ1XEono6UWMpvWNNI0hzqPbtZvUClyMl8ri+f/VvMyeqrGi79Y4AMFVVcwFMNZ/7EJHGAB4A0AtATwAP+AX/y1S1m/lvW5TpoTCVJniChEhCsGepx8q+RmUmiuE9QmwFW9c+pu9j8zbhVoFmZaahhsO6BkTVVbTV78MA9DcfjwPwA4B7/I4ZAmCyqu4AABGZDGAogA+ifG+KQpnfZA5PXdDV4cjYiOQSH2pinngEjFCL6lB4qtPN0cIHnNd0IKquor1Nba6qBebjLQDsei+1ArDB8nyjuc3jLbPq/T5hnWpUIsk+/5K600psVsdVYiGRWPaC9ny8ePSsblYvCzPuPi32L0xxFc0Vo2ZGOmpmpMaQMEodIUvqIjIFgF3RaZT1iaqqiER6ub1MVTeJSD0AnwG4AsA7Dum4BsA1ANC2rfOSeFXZ2V1bxmSyiJjM/e5XmR3Oa3507UnYVxx8vel4eOr8rmhStwaWb9kb0XmR5lMyl0t0i3+edQxGfbEYJ7Rxnm0wlqri0DmiZAoZ1FV1kNM+EdkqIi1VtUBEWgKwaxPfhIoqegBoDaOaHqq6yfx/r4i8D6PN3Taoq+oYAGMAIC8vr1r+Kb986YnJToLXZb3aYtbaIsz/Y1fY59SukYHaNSrZYhPFN3ZRD2MKWM/qVVVhhjey16VVA4y/6dRkJ4MoZUV7dZwAwNObfTiA8TbHfAvgdBFpZHaQOx3AtyKSISJNAUBEMgGcDWBJlOmhMLVpXBtf3HBK4t4wBg0rV/Ruh+v6dfSZqIaIiCpEG9RHAxgsIisBDDKfQ0TyRGQsAJgd5B4BMMf897C5rSaM4L4IwAIYJfrXo0xPShkUwwU34tWZIZbVo1mZ6RhxxlGoFWK2u2pZjUNEFANR9X5X1SIAA2225wO42vL8TQBv+h2zH0D3aN4/lf06ciAa1WGPbSIiqsAZ5aqpFg2ykp0EIiKqYhjUKa68S7km4b05PpIouCfPPw7N6rOA4CYM6pQQnIGA4u3Nq/KwbPOeZCejWrm4R/UcHkzOGNSJyBUGHNUcA47i6n2U2jjglwC4rCTN7u9ElKJYUqe48iyuEmrlNaLKcBoyOXPkAM42RymJJfUUd+Zx0U9bG4znwuqqmgCq8lo2qIUjGtZKdjKIEo5BnQDEryRdbkb1tCREdd5IuJ/nO+7VvnFyE0JURTCoU1x5gnrX1pGv8EYUiqcmqE6Ya6gTuR3/Elxg3F974uM5G0IfaCPe7Y6e169rc9Ed1u0ItG5kX0U69NgWyMtJzEpfVP2xUobIwKDuAv06Z6Nf5+xkJ8NWsOr3Fy45wfG8166o/AzCyu7vKYffOJGBQT3Fxbvdudy82qZVk4aegUc1w9Au8e08SEQULwzqKS7e1e9l5YnvKBdNp783ruoRw5RQorD6nchQTcpPFG/xirmahN7vrH4nolTFoE5x5QmvaUkoSnHCG/fzjEU/vk3DJKeEqGpg9XuKc2P1++2DO2N90QH06dw0Ye9JyXHMEfXx3W190Sm7brKTQlQlMKgTgPi1SZZ7Z5RLXFDv1KweJt7cJ2HvR8nVuXm9ZCeBqMpg9XuKi3f7c0WbelzfhoiIwKBOceYZp57OqE5EFHcM6iku3p3JKsapM6gTEcUbg3qKi3f1+5nHtQQAZGWkx/V9iIiIQZ1M8erH9siwYzH/vsGomen7U3vt8hPj84ZERCmMQZ3iKiM9DY3q1AgYOndiWy7WQkQUawzqKS7e49SJiChxOE6dTInpyNatTUMU7j2ERnVqJOT9iIhSSVQldRFpLCKTRWSl+b9tnaqITBKRXSLyld/29iIyS0RWichHIsIrvcudfmxz/DxiADLTWUlERBRr0V5ZRwCYqqq5AKaaz+08DeAKm+1PAnhOVTsB2Angb1GmhyLUPrsOAKBJXd5PERFVd9EG9WEAxpmPxwE41+4gVZ0KYK91mxjzhg4A8Gmo8yl+7jz9SIz7a0/0yGmc7KQQEVGUog3qzVW1wHy8BUDzCM5tAmCXqpaazzcCaOV0sIhcIyL5IpJfWFhYudRSgMz0NPTrnJ3sZBARUQyE7CgnIlMAtLDZNcr6RFVVROLWl1pVxwAYAwB5eXnss01EROQnZFBX1UFO+0Rkq4i0VNUCEWkJYFsE710EoKGIZJil9dYANkVwPhEREVlEW/0+AcBw8/FwAOPDPVGN5bumAbigMucTERGRr2iD+mgAg0VkJYBB5nOISJ6IjPUcJCIzAHwCYKCIbBSRIeauewDcLiKrYLSxvxFleoiIiFJWVJPPqGoRgIE22/MBXG153sfh/DUAekaTBqpeOIMdEVH8cAYQSoh4LRhDREQVGNSJiIhcgkGdEoLV7kRE8cegTgnFangiovhhUCciInIJBnUiIiKXYFAnIiJyCQZ1IiIil2BQJyIicgkGdSIiIpdgUCciInIJBnUiIiKXYFAnIiJyCQZ1IiIil2BQJyIicgkGdUooLuxCRBQ/DOpEREQuwaBOCcVV2oiI4odBnYiIyCUY1ImIiFyCQZ2IiMglGNSJiIhcgkGdiIjIJRjUiYiIXCKqoC4ijUVksoisNP9v5HDcJBHZJSJf+W1/W0TWisgC81+3aNJDRESUyqItqY8AMFVVcwFMNZ/beRrAFQ777lLVbua/BVGmh4iIKGVFG9SHARhnPh4H4Fy7g1R1KoC9Ub4XERERBRFtUG+uqgXm4y0AmlfiNR4TkUUi8pyI1HQ6SESuEZF8EckvLCysVGKJiIjcLGRQF5EpIrLE5t8w63GqqgAiXa5jJICjAPQA0BjAPU4HquoYVc1T1bzs7OwI34aIiMj9MkIdoKqDnPaJyFYRaamqBSLSEsC2SN7cUso/JCJvAbgzkvOJiIioQrTV7xMADDcfDwcwPpKTzRsBiIjAaI9fEmV6qIrSiCtxiIgoUtEG9dEABovISgCDzOcQkTwRGes5SERmAPgEwEAR2SgiQ8xd/xWRxQAWA2gK4NEo00NERJSyQla/B6OqRQAG2mzPB3C15Xkfh/MHRPP+VH0IuOYqEVG8cUY5IiIil2BQJyIicgkGdSIiIpdgUCciInIJBnUiIiKXYFAnIiJyCQZ1IiIil2BQJyIicgkGdSIiIpdgUCciInIJBnUiIiKXYFCnhOAqbURE8cegTgnFhV2IiOKHQZ2IiMglGNQpoVgNT0QUPwzqlBCsdiciij8GdSIiIpdgUCciInIJBnUiIiKXYFAnIiJyCQZ1IiIil2BQJyIicgkGdSIiIpdgUCciInKJqIK6iDQWkckistL8v5HNMd1EZKaILBWRRSJysWVfexGZJSKrROQjEakRTXqIiIhSWbQl9REApqpqLoCp5nN/BwBcqarHAhgK4HkRaWjuexLAc6raCcBOAH+LMj1URXF6WCKi+Is2qA8DMM58PA7Auf4HqOrvqrrSfLwZwDYA2SIiAAYA+DTY+eQunC6WiCh+og3qzVW1wHy8BUDzYAeLSE8ANQCsBtAEwC5VLTV3bwTQKsi514hIvojkFxYWRplsIiIi98kIdYCITAHQwmbXKOsTVVURcaxjFZGWAN4FMFxVy42CevhUdQyAMQCQl5fHulwiIiI/IYO6qg5y2iciW0WkpaoWmEF7m8Nx9QFMBDBKVX81NxcBaCgiGWZpvTWATRF/AiIiIgIQffX7BADDzcfDAYz3P8Ds0f4FgHdU1dN+DlVVANMAXBDsfHIXdpgjIoqfaIP6aACDRWQlgEHmc4hInoiMNY+5CEBfAFeJyALzXzdz3z0AbheRVTDa2N+IMj1URbGDHBFR/IWsfg9GVYsADLTZng/gavPxewDeczh/DYCe0aSBiIiIDJxRjoiIyCUY1ImIiFyCQZ2IiMglGNSJiIhcgkGdiIjIJRjUiYiIXIJBnRKCk84QEcUfgzolFCehISKKHwZ1IiIil2BQJyIicgkGdSIiIpdgUCciInIJBnUiIiKXYFCnhOLQNiKi+GFQp4TgUDYiovhjUCciInIJBnUiIiKXYFAnIiJyCQZ1IiIil2BQJyIicgkGdUoIDmUjIoo/BnVKKA5tIyKKHwZ1IiIil2BQJyIicomogrqINBaRySKy0vy/kc0x3URkpogsFZFFInKxZd/bIrJWRBaY/7pFkx4iIqJUFm1JfQSAqaqaC2Cq+dzfAQBXquqxAIYCeF5EGlr236Wq3cx/C6JMDxERUcqKNqgPAzDOfDwOwLn+B6jq76q60ny8GcA2ANlRvi8RERH5iTaoN1fVAvPxFgDNgx0sIj0B1ACw2rL5MbNa/jkRqRnk3GtEJF9E8gsLC6NMNhERkfuEDOoiMkVEltj8G2Y9TlUVcB6MLCItAbwL4C+qWm5uHgngKAA9ADQGcI/T+ao6RlXzVDUvO5sFfSIiIn8ZoQ5Q1UFO+0Rkq4i0VNUCM2hvcziuPoCJAEap6q+W1/aU8g+JyFsA7owo9UREROQVbfX7BADDzcfDAYz3P0BEagD4AsA7qvqp376W5v8Coz1+SZTpoSqOM8sREcVPtEF9NIDBIrISwCDzOUQkT0TGmsdcBKAvgKtshq79V0QWA1gMoCmAR6NMD1VRnEmOiCj+Qla/B6OqRQAG2mzPB3C1+fg9AO85nD8gmvcnIiKiCpxRjoiIyCUY1Ckh2JZORBR/DOqUUGxbJyKKHwZ1IiIil2BQJyIicgkGdSIiIpdgUCciInIJBnUiIiKXYFAnIiJyCQZ1IiIil2BQJyIicgkGdSIiIpdgUCciInIJBnVKKM4BT0QUPwzqlBCc852IKP4Y1CkhWEInIoo/BnVKKJbYiYjih0GdiIjIJRjUiYiIXIJBnYiIyCUY1ImIiFyCQZ2IiMglGNSJiIhcgkGdiIjIJaIO6iLSWEQmi8hK8/9GNse0E5F5IrJARJaKyHWWfd1FZLGIrBKRF0WEA5mJiIgqIRYl9REApqpqLoCp5nN/BQB6q2o3AL0AjBCRI8x9rwL4O4Bc89/QGKSJiIgo5cQiqA8DMM58PA7Auf4HqOphVT1kPq3peV8RaQmgvqr+qqoK4B2784mIiCi0WAT15qpaYD7eAqC53UEi0kZEFgHYAOBJVd0MoBWAjZbDNprb7M6/RkTyRSS/sLAwBskmIiJyl4xwDhKRKQBa2OwaZX2iqioitit3qOoGAF3NavcvReTTSBKqqmMAjAGAvLw8rg5CRETkJ6ygrqqDnPaJyFYRaamqBWZ1+rYQr7VZRJYA6APgZwCtLbtbA9gUTpqoermmTwes3rYPl/Zsm+ykEBG5Viyq3ycAGG4+Hg5gvP8BItJaRGqZjxsBOBXACrPafo+InGT2er/S7nyq/prUrYmxw3ugQe3MZCeFiMi1YhHURwMYLCIrAQwyn0NE8kRkrHnM0QBmichCANMB/EtVF5v7bgAwFsAqAKsBfBODNBEREaUcMTqdVy95eXman5+f7GQQERElhIjMVdW8UMdxRjkiIiKXYFAnIiJyCQZ1IiIil2BQJyIicgkGdSIiIpdgUCciInIJBnUiIiKXYFAnIiJyCQZ1IiIil6iWM8qJSCGA9clOh5+mALYnOxFVEPPFHvPFHvPFHvPFXirlSztVzQ51ULUM6lWRiOSHM4VfqmG+2GO+2GO+2GO+2GO+BGL1O6cDBSUAAAqVSURBVBERkUswqBMREbkEg3rsjEl2Aqoo5os95os95os95os95osftqkTERG5BEvqRERELsGgTkRE5BIM6hEQkYxkp6EqExFJdhqqEhGpbf7PfLEQkcxkp6Eq4u/EnogcKyJZyU5HdcGgHgYR6S0irwPokey0VCUicqqIvCoiNwCAsoMGRCRNRBqLyHcA7gKYLx4icpKIfAjgaRHpkuz0VBUi0tO8vtwjIiEnF0kVItJVRH4C8CiAJslOT3XBoB6CiPwdRg/LeQDmi0h6kpNUJYjIiQBeBTAXwJki8pyIdEtyspJOVcsBlAJoAKCDiAwCWAoTkQth/F6+ApAF4HZze8rmi4iki8gTMK4vPwM4EcADItI8uSmrMv4J4FNVPU9VNwGp/XsJF4N6aG0BjFLVV1W1WFXLkp2gKqIngDmqOhbA1QAOwAjuTZObrCrhGABbAcwAcI6I1GJpHbkA/qeq7wF4DjCq4VM8X9IA/AHgIlV9G8CtAE4CUCuZiUo2s7arA4B9qvq8uW2wiDQEkG4+Z3B3wKDuR0Tai0hN83FjAF0AzBaRASLyrYjcKyJ/MvenzA9LRC4SkdtF5GRz0zwAdUWkhapuAfA9gGwApyYtkUlgyZeTLJvXA1gC4HcA5QCGikiLpCQwSSz50tvctALAn0TkbgAzARwB4BURSakpPs0miM7m03IAH6jq7yJSU1U3A9gIYz7zlGLNF7O2azuAPiJyloh8CeBOAC+CTVohMaibRCRHRL4BMBbA+yJytKruAFAE4L8AzgXwCoACAPeLyPGp8MMyqwjvB3CPuek/InIOgP0A1gHoZ26fDmAXgNbmea6+4bHJl9c9N3sAugGorao/wsiTlwA8KiIZKZov/wfgcwC3AOgL4EpVHQqgEMAFqXDDIyINRWQigMkALhKRuqpapqq7AEBVD4lIPQDtAWxOZloTySZf6gCAqu4B8BaARwC8qapDYFybT/K7gSY/KR3U/S6wdwKYpaoDYZQ6HxWR9gAeAHAcgAJVnaCqbwH4GsCwhCc4CczmhiMB3KGqzwJ4CMBNADJgXHy6icgxqloKozR2nnmeq294bPLlAQA3m6WNzQD2i8hbAP4Co8S+SFVLUzRfbgPQWVWnAiiG8TsBgPEAusK4QXS7OgC+BfAP83Efm2N6AViqqptFpK6I5CYygUniny99Lfu+ApADoJH5PB9Gs9ahBKav2knpoA6jw451qNoyAFDVVwB0B3AtjGqgsQDOt5zXDMAviUtmYonIlSLSz2zDAow/pEYikqGqnwJYDWAwjJufYhi9UwGgFYA5bh36FyJfPgewFEaNTjaAIQD2ADgewNMAThCRnMSnOv5C5MtnMPLlz2aJfDWAC8zjToDx+3ElS77UNzt6jQHwMYzP3EtEjjCP8/y9NASwQUT+AmAOjBof1wkjX1oBgKouglHdfpPZV+dyGM2hRUlKerWQktPEishgAHfDKDH8qKofi8jDADIBfGge9hiA3QAeUNVVIvI5jBJXfxglsRtVtSDhiY8Ts9aiBYD3YbT1rYZx53wtgJthlMxfVNVdInIUjHwaoqpbReRNAM1h3Oz8WVVXJeMzxEOE+XK0edzpAA6ZVYgQkZYASlW1MAkfIS4q+XsZDKNkfiOMNvV9AG5S1eWJ/wTxESRfblHV7eYxpwC4CEZH0/cs574L4DIA4wA8ZwY1V4gwX/JV9V3LubcD6ACjs+VtqroswcmvXlQ1pf4B6ARgFozq8xMAfADgBgD1ANwHo8rnJwB5MH6At5nn1QdwFIDTk/0Z4pAn6eb/nQG859kGYwjSmzBKEJNgVI3VNvd/bMmbTADZyf4cVShfbjEfpwFIS/bnqCL58gmAG8zHdQEcl+zPkcB8eQnA537H3gajhqs+gLrmtksAXJDsz1FF8qUBgHqW7ZnJ/hzV5Z8rq0n9iUga4O1V2QvAXFUdb+6bAuAZAJ+o6iMi0kFV15j7fkZF+81eNUoUbipVpMPoiJIuIl/DuMCUAUbbqIjcBKNj4DMwbnAuAdASwEcASmA2QahqCYxOT64Qg3z51Ty2PPGpj58o8+UwjDkNoKr7ACxO+AeIkzDy5RYAm0Wkn6pON097HUbwmgqgrYh0U9UPbV6+2ooyXyYDaCciJ6jqZvMaQ2FwfZu62T61EcaPCzAuJpeYneAAo5pwNcyxswDWmuddA+BvMIZuQc3bRbcQkX4wLrKNAKyCkT8lAE4TkZ6At9PTQwCeVtV3AHwH4EoRmQ8j31xzYfZgvthjvtgLM1/KATxo/vM4C0YN4QIYtRauacoDYpIvC2HkS8qMBIgVV7epi0hdAO8BmAZgOIBLVXW5iDwPow24LYwg/iSA0QD+qkYb8a0w2rZuUNU5yUl9fIlIHwA5arZdici/YVx0DwL4h6p2N2s4mgF4GUZV+wazs1NtT22G2zBf7DFf7EWYLy8CuFtV14nIMAA71Rj26DrMl+RxdUndrOa7WVVfgFFqeMjcdQeMzjr3qOrlMMYSF5r/A8AYVe3h1oBumgvgY6mY9vZnAG3VmNkqXUT+Yd5JtwZQoqobAEBVt7j1Am1ivthjvtiLJF/KVHUdAKjqeJcHLuZLkrg6qAOAqv5hPnweQHsRGWJWE+5W1Z/MfdfBmOa01DznQOJTmliqekBVD2nFtLeDUdEu/hcAR4vIVzA6Es5LRhqTgflij/lirzL5YvYEdzXmS/KkREc5wCgxiMgbAO4F8K3ZUaMngFEwem//VVNwXnfzTlphNEdMMDfvhZFPXQCsVXMxhVTCfLHHfLEXSb64rX9OMMyXxEuZoC4iaar6HzEWBngJRq/2KQBuV9XVSU5eMpUDqAFjkp2uZn+DIhjtXj8FPdPdmC/2mC/2mC/2mC8JljJBXVXLRaQ2jI4Z/QE8rKqTkpuq5FNVFZETYHQMbA/gLVV9I8nJSjrmiz3miz3miz3mS+K5uve7PxG5E0bHjHtUlfMHm0SkNYArADzLfKnAfLHHfLHHfLHHfEmsVAvqaeqyCUGIiIg8UiqoExERuZnrh7QRERGlCgZ1IiIil2BQJyIicgkGdSIiIpdgUCdKcSJSJiILRGSpiCwUkTs8yxUHOSdHRC5NVBqJKDwM6kR0UFW7qeqxMOboPgPAAyHOyQHAoE5UxXBIG1GKE5F9qlrX8rwDgDkAmgJoB+BdAHXM3Tep6i8i8iuAo2EsXTwOxvKZo2HM1lgTwCuq+p+EfQgiAsCgTpTy/IO6uW0XgCNhLL5RrqrFIpIL4ANVzROR/gDuVNWzzeOvAdBMVR8VkZowltq8UFXXJvTDEKW4lJn7nYgqJRPAyyLSDUAZgM4Ox50OY8GOC8znDQDkwijJE1GCMKgTkQ+z+r0MwDYYbetbARwPow9OsdNpMFbe+jYhiSQiW+woR0ReIpIN4DUAL5vrWzcAUGCumXAFgHTz0L0A6llO/RbA9SKSab5OZxGpAyJKKJbUiaiWiCyAUdVeCqNj3LPmvn8D+ExErgQwCcB+c/siAGUishDA2wBegNEjfp6ICIBCAOcm6gMQkYEd5YiIiFyC1e9EREQuwaBORETkEgzqRERELsGgTkRE5BIM6kRERC7BoE5EROQSDOpEREQuwaBORETkEv8PGhntFaClrm0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "PG['simple_reture'].plot(figsize=(8,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_reture_d = PG['simple_reture'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0004700634230250144"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_reture_d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_reture_a = PG['simple_reture'].mean() * 250"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.11751585575625359"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avg_reture_a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11.752%\n"
     ]
    }
   ],
   "source": [
    "print(str(round(avg_reture_a,5)*100)+'%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "PG['log_return']=np.log(PG['AdjClose']/PG['AdjClose'].shift(-1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1164f0cf8>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "PG['log_return'].plot(figsize=(8,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "avg_reture_log = PG['log_return'].mean()*250"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9.208%\n"
     ]
    }
   ],
   "source": [
    "print(str(round(avg_reture_log,5)*100)+'%')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "tickers = ['PG', 'MSFT', 'F','GE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "mydata = pd.DataFrame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "for t in tickers:\n",
    "    mydata[t] = wb.DataReader(t, data_source='quandl', start='1995-1-1')['AdjClose']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 5849 entries, 2018-03-27 to 1995-01-03\n",
      "Data columns (total 4 columns):\n",
      "PG      5849 non-null float64\n",
      "MSFT    5849 non-null float64\n",
      "F       5849 non-null float64\n",
      "GE      5849 non-null float64\n",
      "dtypes: float64(4)\n",
      "memory usage: 228.5 KB\n"
     ]
    }
   ],
   "source": [
    "mydata.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PG</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>F</th>\n",
       "      <th>GE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-03-27</th>\n",
       "      <td>77.79</td>\n",
       "      <td>89.47</td>\n",
       "      <td>10.83</td>\n",
       "      <td>13.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-26</th>\n",
       "      <td>76.41</td>\n",
       "      <td>93.78</td>\n",
       "      <td>10.83</td>\n",
       "      <td>12.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-23</th>\n",
       "      <td>75.91</td>\n",
       "      <td>87.18</td>\n",
       "      <td>10.56</td>\n",
       "      <td>13.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-22</th>\n",
       "      <td>76.41</td>\n",
       "      <td>89.79</td>\n",
       "      <td>10.75</td>\n",
       "      <td>13.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-21</th>\n",
       "      <td>77.04</td>\n",
       "      <td>92.48</td>\n",
       "      <td>11.10</td>\n",
       "      <td>13.88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               PG   MSFT      F     GE\n",
       "Date                                  \n",
       "2018-03-27  77.79  89.47  10.83  13.44\n",
       "2018-03-26  76.41  93.78  10.83  12.89\n",
       "2018-03-23  75.91  87.18  10.56  13.07\n",
       "2018-03-22  76.41  89.79  10.75  13.35\n",
       "2018-03-21  77.04  92.48  11.10  13.88"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PG</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>F</th>\n",
       "      <th>GE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1995-01-09</th>\n",
       "      <td>8.808129</td>\n",
       "      <td>2.506743</td>\n",
       "      <td>4.948832</td>\n",
       "      <td>4.442732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-06</th>\n",
       "      <td>8.861660</td>\n",
       "      <td>2.522554</td>\n",
       "      <td>4.863123</td>\n",
       "      <td>4.486824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-05</th>\n",
       "      <td>8.825490</td>\n",
       "      <td>2.480948</td>\n",
       "      <td>4.863123</td>\n",
       "      <td>4.508870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-04</th>\n",
       "      <td>8.952809</td>\n",
       "      <td>2.522554</td>\n",
       "      <td>4.905978</td>\n",
       "      <td>4.497406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995-01-03</th>\n",
       "      <td>9.025149</td>\n",
       "      <td>2.504247</td>\n",
       "      <td>4.777414</td>\n",
       "      <td>4.497406</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  PG      MSFT         F        GE\n",
       "Date                                              \n",
       "1995-01-09  8.808129  2.506743  4.948832  4.442732\n",
       "1995-01-06  8.861660  2.522554  4.863123  4.486824\n",
       "1995-01-05  8.825490  2.480948  4.863123  4.508870\n",
       "1995-01-04  8.952809  2.522554  4.905978  4.497406\n",
       "1995-01-03  9.025149  2.504247  4.777414  4.497406"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydata.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PG      77.79\n",
       "MSFT    89.47\n",
       "F       10.83\n",
       "GE      13.44\n",
       "Name: 2018-03-27 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydata.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PG      9.025149\n",
       "MSFT    2.504247\n",
       "F       4.777414\n",
       "GE      4.497406\n",
       "Name: 1995-01-03 00:00:00, dtype: float64"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mydata.iloc[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = (mydata/mydata.iloc[-1]*100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1167f0ac8>"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2.plot(figsize=(15,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x113f3e668>"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mydata.plot(figsize=(15,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "returns = (mydata/mydata.shift(-1))-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PG</th>\n",
       "      <th>MSFT</th>\n",
       "      <th>F</th>\n",
       "      <th>GE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-03-27</th>\n",
       "      <td>0.018060</td>\n",
       "      <td>-0.045959</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.042669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-26</th>\n",
       "      <td>0.006587</td>\n",
       "      <td>0.075705</td>\n",
       "      <td>0.025568</td>\n",
       "      <td>-0.013772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-23</th>\n",
       "      <td>-0.006544</td>\n",
       "      <td>-0.029068</td>\n",
       "      <td>-0.017674</td>\n",
       "      <td>-0.020974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-22</th>\n",
       "      <td>-0.008178</td>\n",
       "      <td>-0.029087</td>\n",
       "      <td>-0.031532</td>\n",
       "      <td>-0.038184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-21</th>\n",
       "      <td>-0.016218</td>\n",
       "      <td>-0.006979</td>\n",
       "      <td>0.010009</td>\n",
       "      <td>0.017595</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  PG      MSFT         F        GE\n",
       "Date                                              \n",
       "2018-03-27  0.018060 -0.045959  0.000000  0.042669\n",
       "2018-03-26  0.006587  0.075705  0.025568 -0.013772\n",
       "2018-03-23 -0.006544 -0.029068 -0.017674 -0.020974\n",
       "2018-03-22 -0.008178 -0.029087 -0.031532 -0.038184\n",
       "2018-03-21 -0.016218 -0.006979  0.010009  0.017595"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "returns.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "weights = np.array([0.25,0.25,0.25,0.25])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.00369264,  0.02352209, -0.01856492, ..., -0.00922517,\n",
       "        0.00655136,         nan])"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.dot(returns,weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "annual_returns = returns.mean()*250"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.13118411098159546"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.dot(annual_returns, weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "pfolio_1 = str( round(np.dot(annual_returns,weights*100),3) )   +'%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "13.118%\n"
     ]
    }
   ],
   "source": [
    "print(pfolio_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "weights_2 = np.array([0.4,0.4,0.15,0.05])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "pfolio_2 = str( round(np.dot(annual_returns,weights_2*100),3) )   +'%'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "14.982%\n"
     ]
    }
   ],
   "source": [
    "print(pfolio_2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
